Job Description

Responsibilities:

  • Develop and deploy predictive models in one or more major sports
  • Research new methods to develop and improve sophisticated predictive models, staying adept with the latest research and techniques in the field
  • Analyze various sports data sets to identify statistically significant patterns and extract predictive features
  • Collaborate with a team of data scientists and engineers

Requirements:

  • A passion for sports
  • Bachelors degree in Statistics, Machine Learning, Mathematics, Computer Science, Econometrics or related field; PhD or Masters preferred, but not required
  • Proficiency with R and/or Python
  • Experience with SQL queries
  • Skilled in a variety of statistical modeling and machine learning techniques
  • Experience building models in a cloud-based ecosystem preferred, but not required
  • Sports analytics experience preferred, but not required
  • Tell us why you believe you are qualified for this position at BLA
  • Include answers to the following:
  • Which sports do you follow? Rank how closely you follow each sport on a scale of 1-10 (10 being the highest).
  • In which sports do you follow public analytics work? Rank how closely you follow the public analytics work in each sport on a scale of 1-10 (10 being the highest).
  • Send an email with your resume to careers@bigleagueadv.com
  • Please let us know how you heard about the position!

Company Info.

Big League Advantage

BLA was founded in 2016 by former Major League pitcher Michael Schwimer. Before making his Major League debut in 2011, Michael spent three seasons in the minors, where he witnessed the sacrifices teammates made to stay in the game and achieve their dream of Major League success. Since then, Michael has compiled the best sports analysts and baseball operations team in the world to provide unique opportunities for athletes.

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Big League Advantage is currently hiring Data Scientist Jobs in Washington D.C., DC, USA with average base salary of $140,000 - $220,000 / Year.

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